DOI: 10.1016/j.jag.2014.02.005
Scopus记录号: 2-s2.0-84897527174
论文题名: Modeling the spatial distribution of above-ground carbon in Mexican coniferous forests using remote sensing and a geostatistical approach
作者: Galeana-Pizaña J ; M ; , López-Caloca A ; , López-Quiroz P ; , Silván-Cárdenas J ; L ; , Couturier S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 30, 期: 1 起始页码: 179
结束页码: 189
语种: 英语
英文关键词: Above-ground biomass
; Coniferous forest
; Interferometric coherence
; Mexico
; Regression-kriging
; Spatial autocorrelation
Scopus关键词: aboveground biomass
; ALOS
; autocorrelation
; carbon
; coniferous forest
; geostatistics
; interferometry
; kriging
; PALSAR
; regression analysis
; remote sensing
; spatial distribution
; SPOT
; vegetation index
; Federal District [Mexico]
; Mexico City
; Mexico [North America]
英文摘要: Forest conservation is considered an option for mitigating the effect of greenhouse gases on global climate, hence monitoring forest carbon pools at global and local levels is important. The present study explores the capability of remote-sensing variables (vegetation indices and textures derived from SPOT-5; backscattering coefficient and interferometric coherence of ALOS PALSAR images) for modeling the spatial distribution of above-ground biomass in the Environmental Conservation Zone of Mexico City. Correlation and spatial autocorrelation coefficients were used to select significant explanatory variables in fir and pine forests. The correlation for interferometric coherence in HV polarization was negative, with correlations coefficients r = -0.83 for the fir and r = -0.75 for the pine forests. Regression-kriging showed the least root mean square error among the spatial interpolation methods used, with 37.75 tC/ha for fir forests and 29.15 tC/ha for pine forests. The results showed that a hybrid geospatial method, based on interferometric coherence data and a regression-kriging interpolator, has good potential for estimating above-ground biomass carbon. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79642
Appears in Collections: 气候变化事实与影响
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作者单位: Centro de Investigación en Geografía y Geomática Ing. Jorge L. Tamayo, A.C. Contoy 137, Col. Lomas de Padierna, CP 14240, Mexico, DF, Mexico; Laboratorio de Análisis Geo-Espacial (LAGE), Instituto de Geografía, Universidad Nacional Autónoma de México (UNAM), Circuito Exterior, Ciudad Universitaria, Del. Coyoacan, Apdo. Postal 20850, CP 04510 Mexico City, Mexico
Recommended Citation:
Galeana-Pizaña J,M,, López-Caloca A,et al. Modeling the spatial distribution of above-ground carbon in Mexican coniferous forests using remote sensing and a geostatistical approach[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,30(1)